\begin{table}[htpb]\begin{center} \caption{Influence of the MIL on DIL's Mobility, OLS}\label{table:table3}\begin{tabular}{lccccccc} \toprule
 &  \multicolumn{7}{c}{Outcome: DIL is usually allowed to visit the following places alone:}  \\ \midrule & \shortstack{Home of\\relatives/\\friends} & \shortstack{Health\\facility} & \shortstack{Grocery\\store} & \shortstack{Short distance\\bus/train} & Market & \shortstack{Outside village/\\community} & \shortstack{Wears\\ghunghat/\\purdah} \\  &  (1) & (2) & (3) & (4) & (5) & (6) & (7) \\ \midrule
Lives with MIL           &      -0.096** &      -0.134***&      -0.157***&      -0.043*  &      -0.167***&      -0.083***&       0.064***\\
                         &     [0.036]   &     [0.037]   &     [0.038]   &     [0.021]   &     [0.035]   &     [0.026]   &     [0.019]   \\
N                        &         671   &         671   &         671   &         671   &         671   &         671   &         671   \\
Control mean             &       0.218   &       0.255   &       0.310   &       0.125   &       0.329   &       0.296   &       0.838   \\
\bottomrule \\[-5ex] \end{tabular} \end{center} \begin{tablenotes} This table reports coefficients from specification (1). Each column is a separate regression. The outcome variables are indicators that equal one if the DIL is usually allowed to visit the respective places alone. In all cases, we control for the DIL's age, years of schooling, Hindu dummy, amount of land owned by the household, and fixed effects for her caste category (SC-ST, OBC, or other caste) and village. Control mean refers to the dependent variable mean for women who do not live with their MIL. Robust standard errors in brackets are clustered by village. \sym{*}\(p<0.1\),\sym{**}\(p<0.05\),\sym{***}\(p<0.01\). \end{tablenotes} \end{table}
